Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. - Zhengyu Chen 001; Ziqing Xu; Donglin Wang (AAAI, 2021)

A Joint Relation Extraction Model Based on Domain N-Gram Adapter and Axial Attention for Military Domain. - Zhixiang Yang; Zihang Li; Ziqing Xu; Zaobin Gan; Wanhua Cao (WISA, 2023)

Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. - Ziqing Xu; Hancheng Min; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2023)

Spectral-Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification. - Han Hu; Zhenhui Liu; Ziqing Xu; Haoyi Wang; Xianju Li; Xu Han; Jianyi Peng (PRCV (4), 2024)

A High-Resolution Prediction Network for Predicting Intratumoral Distribution of Nanoprobes by Tumor Vascular and Nuclear Feature. - Jiaqi Xu; Yafei Luo; Chuanbing Wang; Haiyan Chen; Yuxia Tang; Ziqing Xu; Yang Li; Hao Ni; Xianbiao Shi; Yongzhi Hu; Feiyun Wu; Jiulou Zhang; et al. (Adv. Intell. Syst., 2024)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. - Ziqing Xu; Hancheng Min; Lachlan Ewen MacDonald; Jinqi Luo; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2025)

A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models. - Ziqing Xu; Hancheng Min; Salma Tarmoun; Enrique Mallada; René Vidal (Trans. Mach. Learn. Res., 2025)

Improved adaptive graph local spatial-temporal multi-head self-attention network: a deep learning framework for flight delay prediction. - Ming Wei; Ziqing Xu; Ruifeng Gao (Neural Comput. Appl., 2025)

DeformTune: A Deformable XAI Music Prototype for Non-Musicians. - Ziqing Xu; Nick Bryan-Kinns (CoRR, 2025)